Matches in SemOpenAlex for { <https://semopenalex.org/work/W4318485141> ?p ?o ?g. }
- W4318485141 endingPage "645" @default.
- W4318485141 startingPage "645" @default.
- W4318485141 abstract "The breathing rate monitoring is an important measure in medical applications and daily physical activities. The contact sensors have shown their effectiveness for breathing monitoring and have been mostly used as a standard reference, but with some disadvantages for example in burns patients with vulnerable skins. Contactless monitoring systems are then gaining attention for respiratory frequency detection. We propose a new non-contact technique to estimate the breathing rate based on the motion video magnification method by means of the Hermite transform and an Artificial Hydrocarbon Network (AHN). The chest movements are tracked by the system without the use of an ROI in the image video. The machine learning system classifies the frames as inhalation or exhalation using a Bayesian-optimized AHN. The method was compared using an optimized Convolutional Neural Network (CNN). This proposal has been tested on a Data-Set containing ten healthy subjects in four positions. The percentage error and the Bland–Altman analysis is used to compare the performance of the strategies estimating the breathing rate. Besides, the Bland–Altman analysis is used to search for the agreement of the estimation to the reference.The percentage error for the AHN method is 2.19±2.1 with and agreement with respect of the reference of ≈99%." @default.
- W4318485141 created "2023-01-30" @default.
- W4318485141 creator A5004480234 @default.
- W4318485141 creator A5016698194 @default.
- W4318485141 creator A5059215579 @default.
- W4318485141 date "2023-01-27" @default.
- W4318485141 modified "2023-10-04" @default.
- W4318485141 title "Non-Contact Breathing Rate Estimation Using Machine Learning with an Optimized Architecture" @default.
- W4318485141 cites W1586648564 @default.
- W4318485141 cites W1639716765 @default.
- W4318485141 cites W1965387791 @default.
- W4318485141 cites W1987951573 @default.
- W4318485141 cites W1988071329 @default.
- W4318485141 cites W1998391547 @default.
- W4318485141 cites W2002261403 @default.
- W4318485141 cites W2066747626 @default.
- W4318485141 cites W2112796928 @default.
- W4318485141 cites W2139070213 @default.
- W4318485141 cites W2139293067 @default.
- W4318485141 cites W2145246767 @default.
- W4318485141 cites W2176950688 @default.
- W4318485141 cites W2209470592 @default.
- W4318485141 cites W2402825447 @default.
- W4318485141 cites W2540548357 @default.
- W4318485141 cites W2548820856 @default.
- W4318485141 cites W2581605842 @default.
- W4318485141 cites W2608272808 @default.
- W4318485141 cites W2615102882 @default.
- W4318485141 cites W2736191430 @default.
- W4318485141 cites W2745197867 @default.
- W4318485141 cites W2755287329 @default.
- W4318485141 cites W2759803525 @default.
- W4318485141 cites W2766772634 @default.
- W4318485141 cites W2781507917 @default.
- W4318485141 cites W2794142413 @default.
- W4318485141 cites W2800429067 @default.
- W4318485141 cites W2902389007 @default.
- W4318485141 cites W2938670976 @default.
- W4318485141 cites W2943859615 @default.
- W4318485141 cites W2951897779 @default.
- W4318485141 cites W2952544561 @default.
- W4318485141 cites W2963433879 @default.
- W4318485141 cites W2968907357 @default.
- W4318485141 cites W2995491197 @default.
- W4318485141 cites W3000594193 @default.
- W4318485141 cites W3000834295 @default.
- W4318485141 cites W3011131643 @default.
- W4318485141 cites W3016188855 @default.
- W4318485141 cites W3080597750 @default.
- W4318485141 cites W3086989201 @default.
- W4318485141 cites W3091434185 @default.
- W4318485141 cites W3091518626 @default.
- W4318485141 cites W3092476746 @default.
- W4318485141 cites W3096188684 @default.
- W4318485141 cites W3109107836 @default.
- W4318485141 cites W3115650628 @default.
- W4318485141 cites W3120795911 @default.
- W4318485141 cites W3127336123 @default.
- W4318485141 cites W3136572157 @default.
- W4318485141 cites W3193911940 @default.
- W4318485141 cites W4200073570 @default.
- W4318485141 cites W4213253494 @default.
- W4318485141 cites W4312945108 @default.
- W4318485141 doi "https://doi.org/10.3390/math11030645" @default.
- W4318485141 hasPublicationYear "2023" @default.
- W4318485141 type Work @default.
- W4318485141 citedByCount "0" @default.
- W4318485141 crossrefType "journal-article" @default.
- W4318485141 hasAuthorship W4318485141A5004480234 @default.
- W4318485141 hasAuthorship W4318485141A5016698194 @default.
- W4318485141 hasAuthorship W4318485141A5059215579 @default.
- W4318485141 hasBestOaLocation W43184851411 @default.
- W4318485141 hasConcept C105702510 @default.
- W4318485141 hasConcept C126838900 @default.
- W4318485141 hasConcept C153180895 @default.
- W4318485141 hasConcept C154945302 @default.
- W4318485141 hasConcept C2777953023 @default.
- W4318485141 hasConcept C31972630 @default.
- W4318485141 hasConcept C39300077 @default.
- W4318485141 hasConcept C41008148 @default.
- W4318485141 hasConcept C50644808 @default.
- W4318485141 hasConcept C71924100 @default.
- W4318485141 hasConcept C8213797 @default.
- W4318485141 hasConcept C84393581 @default.
- W4318485141 hasConceptScore W4318485141C105702510 @default.
- W4318485141 hasConceptScore W4318485141C126838900 @default.
- W4318485141 hasConceptScore W4318485141C153180895 @default.
- W4318485141 hasConceptScore W4318485141C154945302 @default.
- W4318485141 hasConceptScore W4318485141C2777953023 @default.
- W4318485141 hasConceptScore W4318485141C31972630 @default.
- W4318485141 hasConceptScore W4318485141C39300077 @default.
- W4318485141 hasConceptScore W4318485141C41008148 @default.
- W4318485141 hasConceptScore W4318485141C50644808 @default.
- W4318485141 hasConceptScore W4318485141C71924100 @default.
- W4318485141 hasConceptScore W4318485141C8213797 @default.
- W4318485141 hasConceptScore W4318485141C84393581 @default.
- W4318485141 hasIssue "3" @default.
- W4318485141 hasLocation W43184851411 @default.